The goal of these short courses are to give graduate students a very prelimenary introduction into coding in R. While having an ‘instructor’ teach you these things may be helpful, in my belief, coding, like math, you have to learn by doing. So I highly encourage following these notes, but then play around with the code. Change things and see how it changes the output. I think this is the best way to learn.

Over the next 3 ‘sessions’ we will be looking into county level unemployment data. The goal will be to learn how to:

The plan is to do this all while paying particular attention to file pathing and to teach you how to export graphics and tables from R into a form that can be directly into LaTex (so that it can be easily read into paper/presentation documents).

Below is an example of an interactive plot you can make with plotly and an interactive map you can make with leaflet. Try interacting with them! In the plot you can select/deselect states you want to view. In the map you can click on a county for the name and labor force levels in 1990 and 2019.

See here for an example of what is possible in GIS with R.